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Evaluation and Analysis of Fire Risk Elements within the Visibility Zones of Lookout Towers: The Case of Izmir Regional Forest Directorate

Yıl 2025, Cilt: 25 Sayı: 3, 341 - 364, 25.12.2025
https://doi.org/10.17475/kastorman.1845376

Öz

Aim of study: Evaluate the effectiveness of fire lookout towers in İzmir by integrating viewshed and network analyses with key fire-risk layers.
Area of study: İzmir Regional Forest Directorate (western Türkiye), with fire incident records from 2009-2023.
Material and method: DEM-based GIS viewshed mapping of tower visibility; road-network/vehicle-speed–based service-area (5-30 min) network analysis; overlay with fire susceptibility/severity maps, WUI, 2009-2023 incidents, and water sources; spatial intersections and summary statistics.
Main results: Towers see 72.1% of the area (27.9% blind spots); 75.9% of very-high susceptibility and 73.2% of high-severity zones are visible; 85.7% of 5-min reachable areas are visible but non-visible shares grow with longer times; in WUI, visibility = 72-78% while accessibility rises from 35.4-43.5% (5 min) to ~70% (15 min); 79% of past fires occurred in visible areas and >60% were accessible within 15 min; only 50.6% of 405 water sources are reachable in 10 min.
Research highlights: Considering visibility and accessibility together provides site-specific, action-oriented indicators; blind spots and limited short-term accessibility within the WUI are the primary gaps. Restricted access to water sources reduces operational efficiency. Optimizing tower siting and improving road/water infrastructure can increase coverage and response capacity.

Kaynakça

  • Akay, A.E. (2021). Assessment of the visibility capabilities of forest fire lookout towers: The case of Gemlik, Bursa, Turkey. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 46, 27-32.
  • Akay, A.E., Wing, M., Büyüksakalli, H., Malkoçoglu, S. (2020). Evaluation of fire lookout towers using GIS-based spatial visibility and suitability analyzes. Šumarski list, 144(5-6), 279-288.
  • Akay, A.E. Zengin, M., Köse, O., Yenilmez, N. (2011). Evaluating locations of forest fire fighting teams by using GIS techniques. VI International Symposium on Ecology and Environmental Problems, 17-20.
  • Akay, A., Erdoğan, A. (2017). Assessment of fire watch towers by using visibility analysis: The case of Dursunbey, Balıkesir. International Symposium on New Horizons in Forestry, Süleyman Demirel University, Faculty of Forestry Publication, 119-125.
  • Akbulak, C. & Özdemir, M. (2008). The application of the visibility analysis for fire observation towers in the Gelibolu Peninsula (NW Turkey) using GIS. Proceedings of the Conference on Water Observation and Information System for Decision Support: BALWOIS (Balkan Water Observation and Information System), 27, 31.
  • Alkiş, K.C. (2023). Modelling of biotic and abiotic disturbances in forest ecosystems with automated machine learning: The case of Izmir Forest Regional Directorate. (Master’s thesis, Izmir Kâtip Çelebi University).
  • Almeida JP, Relvas P, Silva L, Catry F.X., Rego F.C., et al. (2007). Portuguese lookout towers network optimization using automatic positioning algorithms. 4th International Wildland Fire Conference, Spain.
  • Aşkın, Y. (2004). Visibility analysis of fire observation towers in Kemalpaşa Mountain using GIS and determination of alternative observation points. 3rd Geographic Information Systems Days, October 6-9, 2004.
  • Asri, İ., Çorumluoğlu, Ö. & Özdemir, E. (2015). Visibility analysis of forest fire lookout towers using digital elevation models derived from satellite data: The case of Izmir. TUFUAB VII Technical Symposium, 358-363.
  • Aydın, O. & Çiçek, İ. (2013). Spatial distribution of precipitation in the Aegean Region. Journal of Geographic Sciences, 11(2): 101-120. https://doi.org/10.1501/Cogbil_0000000145
  • Bahadır, M. (2010). Numerical and spatial analysis of forest fires in Turkey (1998-2007). Nature Sciences, 5(3), 146-162.
  • Bao, S., Xiao, N., Lai, Z, Zhang, H. & Kim, C. (2015). Optimizing watchtower locations for forest fire monitoring using location models. Fire Safety Journal, 71, 100-109.
  • Çoban, H.O. & Bereket, H. (2020). Visibility analysis of fire lookout towers protecting the Mediterranean forest ecosystems in Turkey. Sumarski List, 144.
  • Coşgun, U., Coşkun, M., Toprak, F., Yıldız, D., Coşkun, S., et al. (2023). Visibility evaluation and suitability analysis of fire lookout towers in Mediterranean Region, Southwest Anatolia/Türkiye. Fire, 6(8), 305. https://doi.org/10.3390/fire6080305
  • Eker, R. & Aydın, A. (2024). Predicting potential fire severity in Türkiye’s diverse forested areas: A SHAP-integrated random forest classification approach. Stochastic Environmental Research and Risk Assessment, 1-22.
  • Eker, R., Alkiş, K.C., Açıl, A. & Aydın, A. (2024a). Assessing forest fire susceptibility and potential severity in the wildland-urban interface (WUI) with machine learning and Google Earth Engine: Case of Izmir Regional Directorate. 5th International Symposium of Forest Engineering and Technologies, 16-18 September 2024, Ljubljana.
  • Eker, R., Alkiş, K.C. & Aydın, A. (2024b). Assessment of large-scale multiple forest disturbance susceptibilities with AutoML framework: An Izmir Regional Forest Directorate case. Journal of Forestry Research, 35(1), 65. https://doi.org/10.1007/s11676-024-01723-9
  • Elmas, Ç. & Sönmez, Y. (2008). Enhancing the data fusion-based forest fire preserving and management system. Journal of Polytechnic, 11(2), 99-108. https://doi.org/10.2339/2008.11.2.99-108
  • Erdönmez, C., Yurdakul Erol, S., Yıldırım, H.T. & Şahin, G. (2023). Climate change and forests: A policy perspective in forestry. Istanbul University-Cerrahpaşa Publications. https://cdn.iuc.edu.tr/FileHandler2.ashx?f=kitap-10.pdf
  • Ergün, O.F. (2023). Forest fires and volunteering in Turkey. Emergency Aid and Disaster Science Journal, 3(1), 7-14.
  • Göltaş, M., Demirel, T. & Çağlayan, İ. (2017). Visibility analysis of fire watchtowers using GIS: A case study in Dalaman State Forest Enterprise. European Journal of Forest Engineering, 3(2), 66-71.
  • Heyns, A., Du Plessis, W., Kosch, M. & Hough, G. (2019). Optimisation of tower site locations for camera-based wildfire detection systems. International Journal of Wildland Fire, 28(9), 651-665.
  • Izmir RFD. (2023). Forest Fire Fighting Department, Izmir.
  • Izmir RFD. (2024). Forest Administration and Planning Department, Forest Management Directorate Map, Izmir.
  • Kasap, C.Y., Akay, A.E., Arıcak, B., Bilici, E., Uçar, Z., Erkan, N. & Güney, C.O. (2024). Expanding the accessible forest areas by improving forest road standards and utilizing mobile fire-fighting teams. European Journal of Forest Engineering, 10(2), 133-141.
  • Kavlak, M.Ö., Kurtipek, A. & Çabuk, S.N. (2020). The development of forest fire risk maps using geographical information systems capabilities for Ören Forest Management Unit - Kütahya. Resilience Journal, 4(1), 33-54.
  • Kemer, N. (2022). Forest fires and post-fire actions: forest ecosystem restoration. European Journal of Science and Technology, 33, 373-381. https://doi.org/10.31590/ejosat.1054290
  • Korkmaz, M. (2004). Determination of optimal fire observation points using cluster coverage model. Turkish Journal of Forestry, 5(1), 37-49. https://doi.org/10.18182/tjf.11852
  • Küçük, O., Topaloğlu, O., Altunel, A.O. & Çetin, M. (2017). Visibility analysis of fire lookout towers in the Boyabat State Forest Enterprise in Turkey. Environmental Monitoring and Assessment, 189, 1-18. https://doi.org/10.1007/s10661-017-6008-1
  • Kudu, U.M. & Buğday, E. (2019). Evaluation of the suitability of fire lookout tower locations: The case of Ilgaz Forest Management Directorate. Bartın Faculty of Forestry Journal, 21(2), 550-559. https://doi.org/10.24011/barofd.545793
  • Mistick, K.A., Campbell, M.J. & Dennison, P.E. (2024). Visibility-informed mapping of potential firefighter lookout locations using maximum entropy modelling. International Journal of Wildland Fire, 33(9).
  • General Directorate of Forestry (GDF). (2020). 2020 Annual Action Plan for Forest Fire Fighting. Ankara, Turkey.
  • General Directorate of Forestry (GDF). (2021). 2021 Annual Action Plan for Forest Fire Fighting. Ankara, Turkey.
  • General Directorate of Forestry (GDF). (2022). 2022 Annual Action Plan for Forest Fire Fighting. Ankara, Turkey.
  • General Directorate of Forestry (GDF). (2023). 2023 Annual Action Plan for Forest Fire Fighting. Ankara, Turkey.
  • General Directorate of Forestry (GDF). (2024). 2024 Annual Action Plan for Forest Fire Fighting. Ankara, Turkey.
  • Özşahin, E. (2014). Forest fire susceptibility analysis using GIS and AHP: The case of Antakya Forestry Operation Directorate. Route Educational and Social Science Journal, 1(3), 50-71.
  • Pompa-García, M., Solís-Moreno, R., Rodríguez-Téllez, E., Pinedo-Álvarez, A., Avila-Flores, D., et al. (2010). Viewshed analysis for improving the effectiveness of watchtowers, in the north of Mexico. The Open Forest Science Journal, 3(1), 17-22.
  • Sakellariou, S., Samara, F., Tampekis, S., Christopoulou, O. & Sfougaris, A. (2017). Optimal number and location of watchtowers for immediate detection of forest fires in a small island. International Journal of Agricultural and Environmental Information Systems (IJAEIS), 8(4), 1-19.
  • Sakellariou, S., Sfoungaris, G. & Christopoulou, O. (2022). Territorial resilience through visibility analysis for immediate detection of wildfires integrating fire susceptibility, geographical features, and optimization methods. International Journal of Disaster Risk Science, 13(4), 621-635.
  • URL-1 (2025). General Directorate of Forestry (GDF). E-Library (Legislation) Notification No. 285 on the Principles of Prevention and Extinguishing of Forest Fires. https://www.ogm.gov.tr/tr/e-kutuphane/mevzuat/tebligler (Accessed 10- january-2025)
  • URL-2 (2024). General Directorate of Forestry (GDF). https://www.ogm.gov.tr/tr/kurulusumuz/tasra-birimleri (Accessed 30-december-2024).
  • URL-3 (2024). General Directorate of Forestry, Izmir Regional Forest Directorate. https://www.ogm.gov.tr/izmirobm/kurulusumuz/genel-bilgiler (Accessed 30-december-2024)
  • URL-4 (2021). Republic of Turkey Izmir Governorship, Provincial Directorate of Environment, Urbanization and Climate Change. Izmir Province 2021 Environmental Status Report. https://webdosya.csb.gov.tr/db/ced/icerikler/izmir-ilcdr-2021-20220811104124.pdf (Accessed 31-December-2024)
  • URL-5 (2021). Republic of Turkey Manisa Governorship, Provincial Directorate of Environment, Urbanization and Climate Change. Manisa Province 2021 Environmental Status Report. https://webdosya.csb.gov.tr/db/ced/icerikler/manisa-ilcdr-2021-20221109132207.pdf (Accessed 31-december-2024)

Yangın Gözetleme Kulelerinin Görünürlük Alanları İçindeki Yangın Risk Unsurlarının Değerlendirilmesi ve Analizi: İzmir Bölge Orman Müdürlüğü Örneği

Yıl 2025, Cilt: 25 Sayı: 3, 341 - 364, 25.12.2025
https://doi.org/10.17475/kastorman.1845376

Öz

Çalışmanın Amacı: İzmir’deki yangın gözetleme kulelerinin etkinliğini, görüş alanı (viewshed) ve ağ (network) analizlerini yangın riski katmanları ile bütünleştirerek değerlendirmek.
Çalışma Alanı: Batı Türkiye’de İzmir Orman Bölge Müdürlüğü; 2009-2023 dönemine ait yangın olay kayıtları kullanılmaktadır.
Materyal ve yöntem: DEM tabanlı CBS viewshed analiziyle kule görünürlüğünün haritası üretilmiş; yol ağı/araç hızlarına dayalı 5-30 dakikalık hizmet alanı (service area) ağ analizleri gerçekleştirilmiş; sonuçların yangın duyarlılığı/şiddeti, WUI, 2009-2023 yangın olayları ve su kaynaklarıyla bindirilerek mekânsal kesişimler ve özet istatistiklerle değerlendirilmiştir.
Temel sonuçlar: Kuleler alanın %72,1’ini görmekte, %27,9’u kör alan kalmaktadır; çok yüksek duyarlılığın %75,9’u ve yüksek şiddetin %75,9’si görünürdür. Beş dakikada erişilebilir alanların %85,7’si görünürken, süre uzadıkça görünmeyen pay artar. WUI’de görünürlük %72-78, erişilebilirlik ise 5 dakikada %35,4-43,5’ten 15 dakikada ~%70’e çıkar. Geçmiş yangınların %79’u görünür alanlarda meydana gelmiş; >%60’ına 15 dakikada erişilmiştir. 405 su kaynağının yalnızca %50,6’sına 10 dakikada ulaşılabilmektedir.
Araştırma vurguları: Görünürlük ve erişilebilirliğin birlikte ele alınması, sahaya özgü eyleme dönük göstergeler sunmaktadır; kör alanlar ve kısa sürede WUI erişilebilirliğinin sınırlı oluşu temel boşluklardır. Su kaynaklarına sınırlı erişim operasyonel verimliliği azaltır. Kule yer seçiminin optimizasyonu, yol/su altyapısının iyileştirilmesi kapsama ve müdahale kapasitesini artırabilmektedir.

Kaynakça

  • Akay, A.E. (2021). Assessment of the visibility capabilities of forest fire lookout towers: The case of Gemlik, Bursa, Turkey. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 46, 27-32.
  • Akay, A.E., Wing, M., Büyüksakalli, H., Malkoçoglu, S. (2020). Evaluation of fire lookout towers using GIS-based spatial visibility and suitability analyzes. Šumarski list, 144(5-6), 279-288.
  • Akay, A.E. Zengin, M., Köse, O., Yenilmez, N. (2011). Evaluating locations of forest fire fighting teams by using GIS techniques. VI International Symposium on Ecology and Environmental Problems, 17-20.
  • Akay, A., Erdoğan, A. (2017). Assessment of fire watch towers by using visibility analysis: The case of Dursunbey, Balıkesir. International Symposium on New Horizons in Forestry, Süleyman Demirel University, Faculty of Forestry Publication, 119-125.
  • Akbulak, C. & Özdemir, M. (2008). The application of the visibility analysis for fire observation towers in the Gelibolu Peninsula (NW Turkey) using GIS. Proceedings of the Conference on Water Observation and Information System for Decision Support: BALWOIS (Balkan Water Observation and Information System), 27, 31.
  • Alkiş, K.C. (2023). Modelling of biotic and abiotic disturbances in forest ecosystems with automated machine learning: The case of Izmir Forest Regional Directorate. (Master’s thesis, Izmir Kâtip Çelebi University).
  • Almeida JP, Relvas P, Silva L, Catry F.X., Rego F.C., et al. (2007). Portuguese lookout towers network optimization using automatic positioning algorithms. 4th International Wildland Fire Conference, Spain.
  • Aşkın, Y. (2004). Visibility analysis of fire observation towers in Kemalpaşa Mountain using GIS and determination of alternative observation points. 3rd Geographic Information Systems Days, October 6-9, 2004.
  • Asri, İ., Çorumluoğlu, Ö. & Özdemir, E. (2015). Visibility analysis of forest fire lookout towers using digital elevation models derived from satellite data: The case of Izmir. TUFUAB VII Technical Symposium, 358-363.
  • Aydın, O. & Çiçek, İ. (2013). Spatial distribution of precipitation in the Aegean Region. Journal of Geographic Sciences, 11(2): 101-120. https://doi.org/10.1501/Cogbil_0000000145
  • Bahadır, M. (2010). Numerical and spatial analysis of forest fires in Turkey (1998-2007). Nature Sciences, 5(3), 146-162.
  • Bao, S., Xiao, N., Lai, Z, Zhang, H. & Kim, C. (2015). Optimizing watchtower locations for forest fire monitoring using location models. Fire Safety Journal, 71, 100-109.
  • Çoban, H.O. & Bereket, H. (2020). Visibility analysis of fire lookout towers protecting the Mediterranean forest ecosystems in Turkey. Sumarski List, 144.
  • Coşgun, U., Coşkun, M., Toprak, F., Yıldız, D., Coşkun, S., et al. (2023). Visibility evaluation and suitability analysis of fire lookout towers in Mediterranean Region, Southwest Anatolia/Türkiye. Fire, 6(8), 305. https://doi.org/10.3390/fire6080305
  • Eker, R. & Aydın, A. (2024). Predicting potential fire severity in Türkiye’s diverse forested areas: A SHAP-integrated random forest classification approach. Stochastic Environmental Research and Risk Assessment, 1-22.
  • Eker, R., Alkiş, K.C., Açıl, A. & Aydın, A. (2024a). Assessing forest fire susceptibility and potential severity in the wildland-urban interface (WUI) with machine learning and Google Earth Engine: Case of Izmir Regional Directorate. 5th International Symposium of Forest Engineering and Technologies, 16-18 September 2024, Ljubljana.
  • Eker, R., Alkiş, K.C. & Aydın, A. (2024b). Assessment of large-scale multiple forest disturbance susceptibilities with AutoML framework: An Izmir Regional Forest Directorate case. Journal of Forestry Research, 35(1), 65. https://doi.org/10.1007/s11676-024-01723-9
  • Elmas, Ç. & Sönmez, Y. (2008). Enhancing the data fusion-based forest fire preserving and management system. Journal of Polytechnic, 11(2), 99-108. https://doi.org/10.2339/2008.11.2.99-108
  • Erdönmez, C., Yurdakul Erol, S., Yıldırım, H.T. & Şahin, G. (2023). Climate change and forests: A policy perspective in forestry. Istanbul University-Cerrahpaşa Publications. https://cdn.iuc.edu.tr/FileHandler2.ashx?f=kitap-10.pdf
  • Ergün, O.F. (2023). Forest fires and volunteering in Turkey. Emergency Aid and Disaster Science Journal, 3(1), 7-14.
  • Göltaş, M., Demirel, T. & Çağlayan, İ. (2017). Visibility analysis of fire watchtowers using GIS: A case study in Dalaman State Forest Enterprise. European Journal of Forest Engineering, 3(2), 66-71.
  • Heyns, A., Du Plessis, W., Kosch, M. & Hough, G. (2019). Optimisation of tower site locations for camera-based wildfire detection systems. International Journal of Wildland Fire, 28(9), 651-665.
  • Izmir RFD. (2023). Forest Fire Fighting Department, Izmir.
  • Izmir RFD. (2024). Forest Administration and Planning Department, Forest Management Directorate Map, Izmir.
  • Kasap, C.Y., Akay, A.E., Arıcak, B., Bilici, E., Uçar, Z., Erkan, N. & Güney, C.O. (2024). Expanding the accessible forest areas by improving forest road standards and utilizing mobile fire-fighting teams. European Journal of Forest Engineering, 10(2), 133-141.
  • Kavlak, M.Ö., Kurtipek, A. & Çabuk, S.N. (2020). The development of forest fire risk maps using geographical information systems capabilities for Ören Forest Management Unit - Kütahya. Resilience Journal, 4(1), 33-54.
  • Kemer, N. (2022). Forest fires and post-fire actions: forest ecosystem restoration. European Journal of Science and Technology, 33, 373-381. https://doi.org/10.31590/ejosat.1054290
  • Korkmaz, M. (2004). Determination of optimal fire observation points using cluster coverage model. Turkish Journal of Forestry, 5(1), 37-49. https://doi.org/10.18182/tjf.11852
  • Küçük, O., Topaloğlu, O., Altunel, A.O. & Çetin, M. (2017). Visibility analysis of fire lookout towers in the Boyabat State Forest Enterprise in Turkey. Environmental Monitoring and Assessment, 189, 1-18. https://doi.org/10.1007/s10661-017-6008-1
  • Kudu, U.M. & Buğday, E. (2019). Evaluation of the suitability of fire lookout tower locations: The case of Ilgaz Forest Management Directorate. Bartın Faculty of Forestry Journal, 21(2), 550-559. https://doi.org/10.24011/barofd.545793
  • Mistick, K.A., Campbell, M.J. & Dennison, P.E. (2024). Visibility-informed mapping of potential firefighter lookout locations using maximum entropy modelling. International Journal of Wildland Fire, 33(9).
  • General Directorate of Forestry (GDF). (2020). 2020 Annual Action Plan for Forest Fire Fighting. Ankara, Turkey.
  • General Directorate of Forestry (GDF). (2021). 2021 Annual Action Plan for Forest Fire Fighting. Ankara, Turkey.
  • General Directorate of Forestry (GDF). (2022). 2022 Annual Action Plan for Forest Fire Fighting. Ankara, Turkey.
  • General Directorate of Forestry (GDF). (2023). 2023 Annual Action Plan for Forest Fire Fighting. Ankara, Turkey.
  • General Directorate of Forestry (GDF). (2024). 2024 Annual Action Plan for Forest Fire Fighting. Ankara, Turkey.
  • Özşahin, E. (2014). Forest fire susceptibility analysis using GIS and AHP: The case of Antakya Forestry Operation Directorate. Route Educational and Social Science Journal, 1(3), 50-71.
  • Pompa-García, M., Solís-Moreno, R., Rodríguez-Téllez, E., Pinedo-Álvarez, A., Avila-Flores, D., et al. (2010). Viewshed analysis for improving the effectiveness of watchtowers, in the north of Mexico. The Open Forest Science Journal, 3(1), 17-22.
  • Sakellariou, S., Samara, F., Tampekis, S., Christopoulou, O. & Sfougaris, A. (2017). Optimal number and location of watchtowers for immediate detection of forest fires in a small island. International Journal of Agricultural and Environmental Information Systems (IJAEIS), 8(4), 1-19.
  • Sakellariou, S., Sfoungaris, G. & Christopoulou, O. (2022). Territorial resilience through visibility analysis for immediate detection of wildfires integrating fire susceptibility, geographical features, and optimization methods. International Journal of Disaster Risk Science, 13(4), 621-635.
  • URL-1 (2025). General Directorate of Forestry (GDF). E-Library (Legislation) Notification No. 285 on the Principles of Prevention and Extinguishing of Forest Fires. https://www.ogm.gov.tr/tr/e-kutuphane/mevzuat/tebligler (Accessed 10- january-2025)
  • URL-2 (2024). General Directorate of Forestry (GDF). https://www.ogm.gov.tr/tr/kurulusumuz/tasra-birimleri (Accessed 30-december-2024).
  • URL-3 (2024). General Directorate of Forestry, Izmir Regional Forest Directorate. https://www.ogm.gov.tr/izmirobm/kurulusumuz/genel-bilgiler (Accessed 30-december-2024)
  • URL-4 (2021). Republic of Turkey Izmir Governorship, Provincial Directorate of Environment, Urbanization and Climate Change. Izmir Province 2021 Environmental Status Report. https://webdosya.csb.gov.tr/db/ced/icerikler/izmir-ilcdr-2021-20220811104124.pdf (Accessed 31-December-2024)
  • URL-5 (2021). Republic of Turkey Manisa Governorship, Provincial Directorate of Environment, Urbanization and Climate Change. Manisa Province 2021 Environmental Status Report. https://webdosya.csb.gov.tr/db/ced/icerikler/manisa-ilcdr-2021-20221109132207.pdf (Accessed 31-december-2024)
Toplam 45 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ormancılık (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Kamber Can Alkiş

Remzi Eker

Gönderilme Tarihi 22 Şubat 2025
Kabul Tarihi 26 Mayıs 2025
Yayımlanma Tarihi 25 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 25 Sayı: 3

Kaynak Göster

APA Alkiş, K. C., & Eker, R. (2025). Evaluation and Analysis of Fire Risk Elements within the Visibility Zones of Lookout Towers: The Case of Izmir Regional Forest Directorate. Kastamonu University Journal of Forestry Faculty, 25(3), 341-364. https://doi.org/10.17475/kastorman.1845376
AMA Alkiş KC, Eker R. Evaluation and Analysis of Fire Risk Elements within the Visibility Zones of Lookout Towers: The Case of Izmir Regional Forest Directorate. Kastamonu University Journal of Forestry Faculty. Aralık 2025;25(3):341-364. doi:10.17475/kastorman.1845376
Chicago Alkiş, Kamber Can, ve Remzi Eker. “Evaluation and Analysis of Fire Risk Elements within the Visibility Zones of Lookout Towers: The Case of Izmir Regional Forest Directorate”. Kastamonu University Journal of Forestry Faculty 25, sy. 3 (Aralık 2025): 341-64. https://doi.org/10.17475/kastorman.1845376.
EndNote Alkiş KC, Eker R (01 Aralık 2025) Evaluation and Analysis of Fire Risk Elements within the Visibility Zones of Lookout Towers: The Case of Izmir Regional Forest Directorate. Kastamonu University Journal of Forestry Faculty 25 3 341–364.
IEEE K. C. Alkiş ve R. Eker, “Evaluation and Analysis of Fire Risk Elements within the Visibility Zones of Lookout Towers: The Case of Izmir Regional Forest Directorate”, Kastamonu University Journal of Forestry Faculty, c. 25, sy. 3, ss. 341–364, 2025, doi: 10.17475/kastorman.1845376.
ISNAD Alkiş, Kamber Can - Eker, Remzi. “Evaluation and Analysis of Fire Risk Elements within the Visibility Zones of Lookout Towers: The Case of Izmir Regional Forest Directorate”. Kastamonu University Journal of Forestry Faculty 25/3 (Aralık2025), 341-364. https://doi.org/10.17475/kastorman.1845376.
JAMA Alkiş KC, Eker R. Evaluation and Analysis of Fire Risk Elements within the Visibility Zones of Lookout Towers: The Case of Izmir Regional Forest Directorate. Kastamonu University Journal of Forestry Faculty. 2025;25:341–364.
MLA Alkiş, Kamber Can ve Remzi Eker. “Evaluation and Analysis of Fire Risk Elements within the Visibility Zones of Lookout Towers: The Case of Izmir Regional Forest Directorate”. Kastamonu University Journal of Forestry Faculty, c. 25, sy. 3, 2025, ss. 341-64, doi:10.17475/kastorman.1845376.
Vancouver Alkiş KC, Eker R. Evaluation and Analysis of Fire Risk Elements within the Visibility Zones of Lookout Towers: The Case of Izmir Regional Forest Directorate. Kastamonu University Journal of Forestry Faculty. 2025;25(3):341-64.